Imagining to learn: quantifying network activation patterns to understand the brain mechanisms underlying motor imagery-based skill acquisition

想象学习：量化网络激活模式以了解基于运动想象的技能习得背后的大脑机制

• 批准号: RGPIN-2015-04900
• 负责人: Boe, Shaun
• 金额: $ 1.75万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=590097
• 关键词: Imagining; learn; quantifying; network; activation

Our ability to learn highly skilled sequences of movements is key to many aspects of human performance. From the flawless triple jump of a figure skater to life-saving surgeries, skilled movements are honed through a process called motor learning. Motor learning happens because our brain changes as we repetitively practice new movements. We usually practice a movement by actually doing it. This is called physical practice. However, it’s not always possible to physically practice a movement; athletes get injured, surgeons get tired, and some people re-learning movement after a brain injury can’t move at all. It turns out that it’s possible to practice a movement without moving at all;

我们学习高度熟练的动作序列的能力是人类表现的许多方面的关键。从花样滑冰运动员完美的三级跳远到挽救生命的手术，熟练的动作都是通过一个叫做运动学习的过程来磨练的。动作学习的发生是因为我们的大脑在重复练习新动作时发生了变化。我们通常通过实际做动作来练习动作，这叫做身体练习。然而，并不总是可以通过身体练习运动;运动员受伤，外科医生累了，有些人在脑损伤后重新学习运动，根本不能移动。事实证明，根本不动就可以练习一个动作;